Data Engineer

Job Title: Data Engineer: Streaming & Sensor Data

Job Location: Colorado Springs, CO - Denver, CO, also considered

Eligibility/Clearance: Top Secret

Job Description: We are seeking a Data Engineer to build the data

foundation for our machine learning applications. You will integrate

time-series measurements, including radar and OPIR data, from real-time

streams, application databases, and systems with varying extraction

capabilities. You will collaborate with senior technical staff and the

ML team to characterize available data, establish reliable pipelines,

and deliver cleaned, standardized datasets. You will help select

technologies and develop an architecture based on measured workloads,

application needs, and operational requirements. Our development

environment is primarily Python, with AWS as the preferred cloud

platform.

In this role, you will:

-Understand our data sources. Investigate available interfaces, message

formats, historical coverage, data volumes, arrival rates, and quality

limitations. Document findings to guide implementation and capacity planning.

-Build ingestion pipelines. Develop maintainable workflows for streaming

and historical data across databases, APIs, files, and application-specific interfaces.

Implement configurable filtering to capture the messages and measurements needed

downstream.

-Shape the data architecture. Evaluate processing, storage, and access

options against representative workloads, reliability needs, interoperability,

operational complexity, and cost. Document decisions and support the architecture’s evolution as

requirements become clearer.

-Deliver trusted datasets. Establish consistent schemas, timestamps,

units, identifiers, and source metadata while preserving measurement meaning. Implement

validation and traceability, and define dependable access methods with the ML team.

Support future feature, labeling, and training-data workflows.

-Operate reliable systems. Build tested, documented pipelines with

repeatable deployment, monitoring, and appropriate access controls. Handle

duplicate, missing, delayed, and out-of-order data, and implement recovery and reprocessing

procedures.

We’re looking for someone with:

-Experience designing, implementing, and operating production streaming

and batch data pipelines and their supporting storage systems.

-Strong software engineering skills, including maintainable code,

automated testing, version control, and deployment.

-Practical understanding of streaming behavior, including filtering,

consumer progress, buffering, failure recovery, and replay.

-Experience organizing time-series, telemetry, sensor, or similarly

complex data, with an understanding of schema evolution, partitioning, and efficient access

patterns.

-Demonstrated ability to investigate unfamiliar systems, evaluate

technical tradeoffs, and communicate recommendations while balancing reliability, performance,

maintainability, and cost.

Additional experience that would be valuable:

-Python-based data processing and AWS or comparable cloud

infrastructure.

-Radar, OPIR, or other sensor measurement data.

-Workflow orchestration, containers, infrastructure as code, and

automated delivery.

-Dataset versioning, feature generation, labeling, or training-data

preparation.

Arena Technical Resources, LLC, (ATR) is an Equal Opportunity Employer

(EOE) who will provide equal employment opportunity to employees and

applicants for employment without regard to race, ethnicity, religion,

color, sex, pregnancy, national origin, age, veteran status, ancestry,

sexual orientation, gender identity or expression, marital status,

family structure, genetic information, or mental or physical disability.